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2003 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'03)
Color-Based Video Stabilization for Real-Time On-Board Object Detection on High-Speed Trains
Miami, Florida
July 21-July 22
ISBN: 0-7695-1971-7
ASCII Text
x 
 
Stefano Piva, Michela Zara, Gianluca Gera, Carlo S. Regazzoni, "Color-Based Video Stabilization for Real-Time On-Board Object Detection on High-Speed Trains," Advanced Video and Signal Based Surveillance, IEEE Conference on, pp. 299, 2003 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'03), 2003.
 
 
BibTex
x
 
@article{ 10.1109/AVSS.2003.1217935,
author = {Stefano Piva and Michela Zara and Gianluca Gera and Carlo S. Regazzoni},
title = {Color-Based Video Stabilization for Real-Time On-Board Object Detection on High-Speed Trains},
journal ={Advanced Video and Signal Based Surveillance, IEEE Conference on},
volume = {0},
year = {2003},
isbn = {0-7695-1971-7},
pages = {299},
doi = {http://doi.ieeecomputersociety.org/10.1109/AVSS.2003.1217935},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Video and Signal Based Surveillance, IEEE Conference on
TI - Color-Based Video Stabilization for Real-Time On-Board Object Detection on High-Speed Trains
SN - 0-7695-1971-7
SP
EP
A1 - Stefano Piva,
A1 - Michela Zara,
A1 - Gianluca Gera,
A1 - Carlo S. Regazzoni,
PY - 2003
KW - null
VL - 0
JA - Advanced Video and Signal Based Surveillance, IEEE Conference on
ER -
 
Stefano Piva, University of Genoa
Michela Zara, University of Genoa
Gianluca Gera, University of Genoa
Carlo S. Regazzoni, University of Genoa

This paper is concerned with a particular application of image stabilization1. Image stabilization is a necessary step to reduce the effect of camera motion when, as in this case, image sequences are acquired from a mobile platform.

In this work, in order to find an efficient motion estimator, two one-dimensional characteristic curves are extracted from each video frame. Such curves are then compared in consequent frames to estimate image displacement. The proposed algorithm is suitable for real time processing and provides good performance; in order to verify its validity, it has been tested on a variety of color video-sequences taken from the point of view of trains moving along railways tracks. Results are provided in order to compare the proposed approach with a feature-based stabilization method.

Citation:
Stefano Piva, Michela Zara, Gianluca Gera, Carlo S. Regazzoni, "Color-Based Video Stabilization for Real-Time On-Board Object Detection on High-Speed Trains," avss, pp.299, 2003 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'03), 2003
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